AVP, DevOps Engineer

LPL Financial

. Lead, mentor, and develop a high-performing team of Site Reliability Engineers focused on observability, reliability, automation, and operational excellence .

Posted 11/4/2026full-timeUnited StatesLead💰 $118,141 - $196,833 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Site Reliability Engineering, including leadership in automation initiatives, AI/ML applications, and enterprise observability solutions. Proven ability to establish reliability standards, drive operational excellence, and communicate effectively with senior leadership.

Highest-signal resume keywords

Site Reliability Engineering (SRE)AI/ML-Driven Operational Use CasesDynatrace Monitoring SolutionsInfrastructure as Code (IaC)Cloud Platforms (AWS, Azure, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoJavaKubernetesCI/CD PracticesSLIsSLOsError BudgetsAutomation InitiativesOperational Excellence

Soft Skills

LeadershipExecutive CommunicationDecision-MakingProgram LeadershipResults-Driven Execution

Tools & Technologies

DynatraceAIOpsMonitoring PracticesIncident ManagementPredictive Monitoring

Industry Keywords

ObservabilityOperational GovernanceService Health ManagementContinuous ImprovementRoot Cause Analysis

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaKubernetesPythonGo

About the role

Key responsibilities & impact

Lead, mentor, and develop a high-performing team of Site Reliability Engineers focused on observability, reliability, automation, and operational excellence
Define and execute the strategic roadmap for enterprise observability, AI-driven operations, and reliability engineering
Establish and govern reliability standards, including SLOs, SLIs, error budgets, monitoring practices, and operational readiness requirements
Drive adoption of enterprise observability solutions leveraging Dynatrace, including logs, metrics, traces, Real User Monitoring (RUM), and executive reporting dashboards
Sponsor and oversee AI/ML-powered capabilities for predictive monitoring, anomaly detection, incident correlation, alert optimization, and root cause analysis
Lead major incident management processes, post-incident reviews, and continuous improvement initiatives to reduce MTTR, incident recurrence, and operational toil
Partner with application, infrastructure, cloud, security, and architecture teams to embed reliability, resilience, and operational best practices throughout the software lifecycle
Champion self-healing and intelligent automation strategies, ensuring automated remediation capabilities are secure, auditable, scalable, and aligned with governance requirements
Drive platform engineering and Infrastructure-as-Code adoption across cloud and on-premises environments
Establish metrics, KPIs, and operational governance frameworks to measure service health, team effectiveness, and reliability outcomes
Communicate progress to senior leadership and stakeholders

Requirements

What you’ll need

10+ years of experience in Site Reliability Engineering (SRE), DevOps, Platform Engineering, Infrastructure Engineering, or Production Operations
3+ years of engineering leadership experience managing SRE, DevOps, Platform Engineering, or Operations teams
7+ years of experience leading automation initiatives using programming and scripting languages such as Python, Go, Java, or similar technologies
2+ years of experience with AI/ML-driven operational use cases, including anomaly detection, predictive monitoring, intelligent alerting, and incident correlation
7+ years of experience with cloud platforms (AWS, Azure, or GCP), Kubernetes, container platforms, and modern CI/CD practices
Deep knowledge of SRE principles, including SLIs, SLOs, error budgets, availability, resiliency, and operational excellence
Expertise in enterprise monitoring, Dynatrace, logging, metrics, tracing, AIOps, and service health management
Strong leadership during major incidents, root cause analysis, problem management, and continuous service improvement
Ability to drive intelligent automation, Infrastructure as Code (IaC), CI/CD, and self-healing platform capabilities
Understanding of AI/ML applications for anomaly detection, predictive monitoring, alert correlation, and operational intelligence
Strong knowledge of cloud platforms, Kubernetes, distributed systems, scalability, resilience, and reliability patterns
Ability to influence and partner effectively with engineering, infrastructure, security, architecture, and business leaders
Strong executive communication, decision-making, program leadership, operational governance, and results-driven execution skills

Benefits

Comp & perks

401K matching
Health benefits
Employee stock options
Paid time off
Volunteer time off
LPL Total Rewards package
Support for success at work, at home, and at play